Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
J Biomed Inform. 2011 Apr;44(2):239-50. doi: 10.1016/j.jbi.2010.09.007. Epub 2010 Sep 17.

A practical method for transforming free-text eligibility criteria into computable criteria.

Author information

  • 1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA. swt@stanford.edu

Abstract

Formalizing eligibility criteria in a computer-interpretable language would facilitate eligibility determination for study subjects and the identification of studies on similar patient populations. Because such formalization is extremely labor intensive, we transform the problem from one of fully capturing the semantics of criteria directly in a formal expression language to one of annotating free-text criteria in a format called ERGO annotation. The annotation can be done manually, or it can be partially automated using natural-language processing techniques. We evaluated our approach in three ways. First, we assessed the extent to which ERGO annotations capture the semantics of 1000 eligibility criteria randomly drawn from ClinicalTrials.gov. Second, we demonstrated the practicality of the annotation process in a feasibility study. Finally, we demonstrate the computability of ERGO annotation by using it to (1) structure a library of eligibility criteria, (2) search for studies enrolling specified study populations, and (3) screen patients for potential eligibility for a study. We therefore demonstrate a new and practical method for incrementally capturing the semantics of free-text eligibility criteria into computable form.

Copyright © 2010 Elsevier Inc. All rights reserved.

PMID:
20851207
[PubMed - indexed for MEDLINE]
PMCID:
PMC3129371
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for PubMed Central
    Loading ...
    Write to the Help Desk